Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review

By P. Ravi Kumar, Vadlamani Ravi. 2007

1,096 citations recorded by the source corpus.

Subfields: Accounting, Artificial Intelligence, Management Science and Operations Research

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Citations in the corpus

Deep Learning for Financial Applications : A Survey (2020, neutral): “[90], Verikas et al.”
Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2010, neutral): “Soft computing usually integrates various techniques that may originate from different disciplines such as fuzzy logic,19 neural networks, machine learning, etc. in various combinations that will allow the researcher to exploit the strengths of individual techniques (Ravi Kumar and Ravi, 2007).”
Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries (2019, background): “There are also various research and review studies Oeconomia Copernicana, 10(4), 743–772 746 (Ravi Kumar & Ravi, 2007, pp. 1–28; Bellovary et al., 2007, pp. 1–43; Dimitras et al., 1996, pp. 487–513).”
Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2015, methodology): “According to Ravi Kumar and Ravi (2007), researchers employed different types of intelligent techniques to solve this problem (Carlos, 1996; Fletcher & Goss, 1993; Wilson & Sharda, 1994) and neural network (NN) was the most commonly used technique.”
Financial Crises and Bank Failures: A Review of Prediction Methods (2010, methodology): “Ravi and Pramodh [53] propose a Principal Component Neural Network (PCNN) architecture for bankruptcy prediction in commercial banks.”
Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey (2010, methodology): “A recent comprehensive review of intelligent and some statistical techniques applied to bankruptcy prediction can be found in Kumar and Ravi (2007).”
Learning under Concept Drift: an Overview (2010, background): “Bankruptcy prediction or individual credit scoring is typically considered to be a stationary problem [90].”